Advanced engineer – embedded machine learning Jobs – 133 Open Jobs Today

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Advanced Engineer – Automotive Data Engineering

Harman International -
Bengaluru, Karnataka

Apply Now

Job details

Permanent
1 day ago

Qualifications

Data modeling
Azure
Computer Science
Signal processing
Internet of things
R
English
Research
.NET
Master's degree
SQL
AWS
C++
Docker
C
Bachelor's degree
Machine learning
Distributed systems
APIs
S3
Kafka
Electrical Engineering
AI
Communication skills
Python

Full job description

Location:

IN_Bangalore_Sattva Knowledge Court Bdg_HII

Job Family:

Artificial Intelligence & Machine Learning

Worker Type Reference:

Regular - Permanent

Pay Rate Type:

Salary

Career Level:

T3(B)

Job ID:

R-53721-2026

Description & Requirements

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

Engineer audio systems and integrated technology platforms that augment the driving experience
Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role

As a Data Engineer on the Innovation Team, you will design and build an end-to-end audio data collection and consumption platform that enables advanced analytics, audio information retrieval, and personalization capabilities across the Car Audio Division.Y ou will establish standardized, secure, and scalable pipelines to collect, curate, and govern data from internal engineering systems, companion applications, and connected vehicle telemetry. You will collaborate closely with Data Scientists, ML Engineers, Embedded/DSP Engineers, and Audio Experts to ensure high-quality data products are consistently available for experimentation, training, validation, analysis, and production monitoring—while meeting strict privacy, security, reliability, and automotive compliance requirements. You will also serve as a platform consultant, advising other departments on data architecture, data contracts, ingestion design, and downstream consumption, while ensuring adherence to strict privacy, safety, and reliability standards.

What You Will Do

Design and implement standardized data ingestion frameworks for batch and streaming sources (internal databases, user‑preference data, vehicle telemetry).
Define and maintain data models and data contracts (schemas, semantics, versioning rules) for audio-related files, user preferences and metadata including quality guardrails (schema validation, anomaly detection, etc.)
Develop and maintain data lakes / lakehouse architectures
Design and implement standardized API for data consumption.
Prepare and curate high‑quality datasets for AI/ML model training, validation, experimentation and statistical analysis.
Collaborate directly with ML Engineer and Data Scientist to optimize data formats for training performance and storage efficiency
Design cost‑aware policies for data retention, sampling, compression, and technology selection
Optimize pipeline execution times and resource usage (batch vs streaming, compute sizing, caching strategies)
Establish measurable KPIs for data cost efficiency, pipeline reliability, and performance
Ensure compliance with internal policies, OEM requirements, and regulatory constraints
Create clear documentation for pipelines, schemas, and architectural decisions
Mentor other engineers on practical data engineering, performance tuning, and cost‑efficient design

What You Need to Be Successful

5+ years of hands‑on experience building and operating large‑scale data pipelines and platforms
Strong proficiency in Python, PySpark and SQL for data processing and automation
Solid experience with cloud‑based data platforms (e.g., AWS S3, Azure, Databricks, object storage, distributed computing)
Proven ability to automate repetitive tasks and improve data hygiene
Proven experience implementing cost‑saving strategies in data platforms (storage tiering, compute optimization, pipeline tuning)
Deep understanding of data modeling, partitioning, indexing, and performance optimization
Experience handling large‑volume, high‑frequency or unstructured data (audio, signals, logs, telemetry)
Strong knowledge of data governance, and privacy best practices
Working knowledge of privacy‑preserving data handling (pseudonymization, anonymization, etc.), data‑quality checks, and data‑lineage tracking.
Ability to work independently and collaborate effectively in cross‑functional global teams
Strong communication and collaboration skills, with the ability to work effectively in an intercultural and cross‑functional team.

Bonus Points if You Have

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Machine Learning, Signal Processing, or a closely related field.
Experience working with audio, image or signal processing domains
Background working with automotive datasets or connected vehicle data
Experience deploying ML models to production (cloud or edge environments).
Experience with event-driven architectures (Kafka-like patterns, IoT ingestion patterns).
Experience programming with C++ and embedded systems
Familiarity with OTA update flows, artifact versioning, and safe rollback mechanisms.
Experience building reproducible working‑environment (docker, virtual environments)
Experience with privacy-aware designs: PII privacy, tokenization/pseudonymization, retention automation.

What Makes You Eligible

Advanced English communication skill, will be part of a Global team
Willing to work in an office at Bangalore.

What We Offer

Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
Extensive training opportunities through our own HARMAN University
Competitive wellness benefits
Tuition reimbursement
“Be Brilliant” employee recognition and rewards program
An inclusive and diverse work environment that fosters and encourages professional and personal development.

#LI-AD3

About HARMAN: Where Innovation Unleashes Next-Level Technology

Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

Important Notice: Recruitment Scams

Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com', ‘@careers.harman.com’ or ‘@harmanglobal.avature.net’ email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in one of the above email domains about a job with HARMAN, please cease communication immediately and report the incident to us through: [email protected].

You Belong Here

HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)

HARMAN is committed to providing reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation during the application process, please contact us at [email protected]. Requests will be considered on a case-by-case basis in accordance with applicable law.

Apply Now

Refine Your Search

advanced engineer – embedded machine learning jobs

Advanced Engineer – Automotive Data Engineering

Automotive Audio Systems Engineer

Building Simulation Engineer

Power and Performance Engineer

Embedded Software Engineer | 5+ years | C ,C++ , Python

Senior ML Compiler Engineer

Lead GPU Kernel Optimization Engineer

Electronics CAD Engineer

Sr. Data Scientist 4B

Computational Chemometrics Researcher

Server Performance Analysis Engineer

Lead Engineer I - Flight Control Systems

loT Developer

Layout Design, Staff Engineer

Senior Computer Vision Engineer

Staff Design Verification Engineer

Senior Engineer AWS Connect

Sr. Engineer I - Flight Control Systems (HAPS)

R&D Engineer, Sr Engineer (C/C++, Data structures, Algorithm, FPGA)

Staff Software Engineer

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